94 citations · 264 across the 8 of their papers we have counts for
8 papers
Constable: Improving Performance and Power Efficiency by Safely Eliminating Load Instruction Execution
Rahul Bera, Adithya Ranganathan, Joydeep Rakshit +8
Load instructions often limit instruction-level parallelism (ILP) in modern processors due to data and resource dependences they cause. Prior techniques like Load Value Prediction…
TransforMAP: Transformer for Memory Access Prediction
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori +2
Data Prefetching is a technique that can hide memory latency by fetching data before it is needed by a program. Prefetching relies on accurate memory access prediction, to which ta…
Fine-Grained Address Segmentation for Attention-Based Variable-Degree Prefetching
Pengmiao Zhang, Ajitesh Srivastava, Anant V. Nori +2
Machine learning algorithms have shown potential to improve prefetching performance by accurately predicting future memory accesses. Existing approaches are based on the modeling o…
Pythia: A Customizable Hardware Prefetching Framework Using Online Reinforcement Learning
Rahul Bera, Konstantinos Kanellopoulos, Anant V. Nori +3
Past research has proposed numerous hardware prefetching techniques, most of which rely on exploiting one specific type of program context information (e.g., program counter, cache…
pLUTo: Enabling Massively Parallel Computation in DRAM via Lookup Tables
João Dinis Ferreira, Gabriel Falcao, Juan Gómez-Luna +8
Data movement between the main memory and the processor is a key contributor to execution time and energy consumption in memory-intensive applications. This data movement bottlenec…
Proximu$: Efficiently Scaling DNN Inference in Multi-core CPUs through Near-Cache Compute
Anant V. Nori, Rahul Bera, Shankar Balachandran +5
Deep Neural Network (DNN) inference is emerging as the fundamental bedrock for a multitude of utilities and services. CPUs continue to scale up their raw compute capabilities for D…
GenASM: A High-Performance, Low-Power Approximate String Matching Acceleration Framework for Genome Sequence Analysis
Damla Senol Cali, Gurpreet S. Kalsi, Zülal Bingöl +13
Genome sequence analysis has enabled significant advancements in medical and scientific areas such as personalized medicine, outbreak tracing, and the understanding of evolution. U…
DSPatch: Dual Spatial Pattern Prefetcher
Rahul Bera, Anant V. Nori, Onur Mutlu +1
High main memory latency continues to limit performance of modern high-performance out-of-order cores. While DRAM latency has remained nearly the same over many generations, DRAM b…